Sr. Azure DevOps Engineer

  • Hyderabad
  • Veltris
Job Description Veltris is looking for Azure Devops Engineer experience for Data & AI Practice,   Designation – Sr. Azure DevOps Engineer Experience - 5 -10 Years   Working Days - 5 Days Location – Hyderabad Notice Period – Immediate or 15 days maximum. Requirements Mandatory Skills ·        Experience with: Terraform, Docker / Kubernetes, Helm, Azure cloud. ·        Experience with DevOps tools like Git, Jenkins etc ·        Good skills on DevOps and entire CI/CD Process ·        Proficient in scripting, and Git and Git workflows ·        Manage VPCs, security groups, and user accounts on the cloud ·        Experience in developing solutions on cloud ·        Experience with containerization and orchestration technologies (Kubernetes, docker) ·        Experience with workflow management systems (Airflow, Kubeflow) ·        Setting up of open-source tools for logging and monitoring of infrastructure (e.g., Prometheus/Grafana) ·        Experience deploying machine learning models into production and implementing systems to support MLOps processes ·        Strong communication and collaboration skills Good attitude and self-motivated Benefits About Veltris   Where Innovation, Acceleration and Transformation meet to deliver high-ROI technology and business solutions. Our design thinking approach to agile software development coupled with premium full-stack capabilities, and a cutting-edge innovation mindset accelerates time-to- market. This results in long-term strategic and competitive advantages for our clients and partners. Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations. Requirements Mandatory Skills · Experience with: Terraform, Docker / Kubernetes, Helm, Azure cloud. · Experience with DevOps tools like Git, Jenkins etc · Good skills on DevOps and entire CI/CD Process · Proficient in scripting, and Git and Git workflows · Manage VPCs, security groups, and user accounts on the cloud · Experience in developing solutions on cloud · Experience with containerization and orchestration technologies (Kubernetes, docker) · Experience with workflow management systems (Airflow, Kubeflow) · Setting up of open-source tools for logging and monitoring of infrastructure (e.g., Prometheus/Grafana) · Experience deploying machine learning models into production and implementing systems to support MLOps processes · Strong communication and collaboration skills Good attitude and self-motivated